Is Airflow Provider Great Expectations Safe?
Airflow Provider Great Expectations — Nerq Trust Score 65.0/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-31.
Use Airflow Provider Great Expectations with some caution. Airflow Provider Great Expectations is a Python package with a Nerq Trust Score of 65.0/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-21. Machine-readable data (JSON).
Is Airflow Provider Great Expectations safe?
CAUTION — Airflow Provider Great Expectations has a Nerq Trust Score of 65.0/100 (B-). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Airflow Provider Great Expectations's trust score?
Airflow Provider Great Expectations has a Nerq Trust Score of 65.0/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Airflow Provider Great Expectations?
Airflow Provider Great Expectations's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Airflow Provider Great Expectations and who maintains it?
| Author | Unknown |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Airflow Provider Great Expectations
What is Airflow Provider Great Expectations?
Airflow Provider Great Expectations is a Python package — An Apache Airflow provider for Great Expectations.
How to Verify Safety
Run pip audit or safety check. Review on PyPI for download stats.
You can also check the trust score via API: GET /v1/preflight?target=airflow-provider-great-expectations
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Airflow Provider Great Expectations has a Nerq Trust Score of 65/100 (B-) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Airflow Provider Great Expectations has a Trust Score of 65/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 81/100 |
| Popularity | 60/100 |
| Quality | 40/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Airflow Provider Great Expectations collect?
Privacy assessment for Airflow Provider Great Expectations is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Airflow Provider Great Expectations secure?
Security score: 90/100. Airflow Provider Great Expectations has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
License information not available. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Airflow Provider Great Expectations Security Report
How we calculated this score
Airflow Provider Great Expectations's trust score of 65.0/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (81/100), popularity (60/100), quality (40/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 31, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.